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Probing Human Alzheimer's Cortical Section using Spatial Multiplexing
Alzheimer’s disease (AD) is the most common neurodegenerative disease and is characterized by the progressive decline of cognitive function. Spatial profiling of AD brain may reveal cellular…
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Spatial Metabolomics: Exploring Tumor Complexity and Therapeutic Insights
In cancer research, it is vital to understand the interaction between tumor cells and their microenvironment, as the tumor microenvironment influences tumor progression significantly. Spatial…
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Lipidomics Analysis of Sparse Cells based on Laser Microdissection
Delve into cellular intricacies with high-coverage targeted lipidomics analysis of sparse cells. This advanced method, integrating Laser Microdissection (LMD) and Liquid Chromatography-Mass…
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![[Translate to chinese:] Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).](/fileadmin/_processed_/3/6/csm_Confluent_cells_with_phase_contrast_and_analyzed_for_confluency_using_AI_94fe9276f5.jpg "[Translate to chinese:] Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).")
通过 AI 汇合度提高 2D 细胞培养的精度
本文解释了如何利用人工智能（AI）进行高效、精确的 2D 细胞培养汇合度评估。准确评估细胞培养的汇合度，即表面积覆盖的百分比，对于可靠的细胞研究至关重要。传统方法使用视觉检查或简单算法，使结果不客观和精确，尤其是对于用于药物发现、组织工程和再生医学的复杂细胞系。利用自动化图像分析和深度学习算法的方法提供更好的精度，并可以增强实验结果。
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![[Translate to chinese:] AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.](/fileadmin/_processed_/4/c/csm_AI-based_analysis_of_U2OS_cells_transfected_with_fluorescently_labelled_protein_6c19563c6e.jpg "[Translate to chinese:] AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.")
利用AI实现细胞转染的高效分析
本文探讨了AI（AI）在优化 2D 细胞培养研究中转染效率测量中的关键作用。对于理解细胞机制而言，精确可靠的 2D 细胞培养转染效率测量至关重要。靶向蛋白的高转染效率对于包括活细胞成像和蛋白纯化在内的实验至关重要。手动估计存在不一致性和不可靠性。借助AI的力量，可以实现高效可靠的转染研究。
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![[Translate to chinese:] AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope.](/fileadmin/_processed_/d/9/csm_AI-based_cell_counting_performed_with_phase-contrast_and_fluorescence_image_99cddfa853.jpg "[Translate to chinese:] AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope.")
利用AI增强的细胞计数实现精准和高效
本文描述了利用AI进行精确和高效的细胞计数。准确的细胞计数对于 2D 细胞培养的研究至关重要，例如细胞动力学、药物发现和疾病建模。精确的细胞计数对于确定细胞存活率、增殖速率和实验条件的影响至关重要。这些因素对于可靠和稳健的结果至关重要。描述了基于人工智能的方法如何显著提高细胞计数的准确性和速度，从而对细胞研究产生重大影响。
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Cell DIVE开放式超多重免疫荧光成像如何赋能空间生物学
空间生物学和多重成像工作流程在免疫肿瘤学研究中变得越来越重要。许多研究人员即使使用有效的工具和方案，也很难提高研究效率。我们将介绍研究人员如何利用开放式超多重免疫荧光的适应性，将 IBEX 成像与Cell DIVE 相结合，创造了一种名为 Cell DIVE-IBEX 的技术。它让这些研究人员能够调整现有的技术和试剂，并获得Cell DIVE 在其免疫肿瘤学研究中的可扩展性。
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![[Translate to chinese:] Optical microscope image, which is a composition of both brightfield and fluorescence illumination, showing organic contamination on a wafer surface. The inset images in the upper left corner show the brightfield image (above) and fluorescence image (below with dark background).](/fileadmin/_processed_/a/1/csm_Organic_contamination_on_a_wafer_surface_6699165cee.jpg "[Translate to chinese:] Optical microscope image, which is a composition of both brightfield and fluorescence illumination, showing organic contamination on a wafer surface.")
晶圆上的光刻胶残留和有机污染物的可视化
随着半导体上集成电路（IC）的尺寸低于10纳米，在晶圆检测中有效检测光刻胶残留等有机污染物和缺陷变得越来越重要。光学显微镜仍然是常见的检测方法，但对于有机污染物，明场和其他类型的照明可能会存在局限性。本文讨论了荧光显微镜如何在半导体行业的QC、故障分析和研发过程中有效检测晶圆上的光刻胶残留和其他有机污染物。
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![[Translate to chinese:] Evolved ARveo 8: Operating Room (OR) set-up.](/fileadmin/_processed_/6/3/csm_Evolved_ARveo_OR_MyVeo_Operating_Room_set-up_01_7f49e9f537.jpg "[Translate to chinese:] Evolved ARveo 8: Operating Room (OR) set-up.")
增强现实：改变神经外科手术
在这本电子书中，您将探索增强现实（AR）为神经外科领域带来的激动人心的进步。这本综合指南包括解释性视频，解答关键问题并提供详细解释，揭示了外科手术的未来。
